{"repo":"mayer79/MetricsWeighted","free":true,"listed":false,"github":"https://github.com/mayer79/MetricsWeighted","clone":"git clone https://github.com/mayer79/MetricsWeighted.git","description":"R package for weighted model metrics","language":"R","stars":11,"topics":["machine-learning","metrics","performance","r","r-package","rstats","statistics"],"license":"GPL-2.0","category":"analytics","readme_excerpt":"{MetricsWeighted} Overview {MetricsWeighted} provides weighted and unweighted versions of metrics and performance measures for machine learning. Installation Usage There are two ways to apply the package. We will go through them in the following examples. Please have a look at the vignette on CRAN for further information and examples. Example 1: Standard interface Example 2: data.frame interface Useful, e.g., in a {dplyr} chain. Check out the vignette for more applications.","default_branch":null,"files":null,"tree":[],"storefront":"/r/mayer79","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/mayer79/MetricsWeighted/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}